1997International Journal of Systems ScienceRequires access

A Smith predictor FL-based controller for processes with long dead time

Fouad M. AL‐Sunni, Taher Al-Nemer

Open publisher page 6 citations

Abstract

A Smith predictor ( SP) fuzzy logic ( FL) based controller for processes with long dead time is proposed. The basic concept is to combine the Smith predictor scheme with FL. The FL, in this scheme, is going to be used to auto-tune the PI controller while the SP is going to compensate for the long dead time that is commonly associated with different processes. The new scheme has been tested on several simulated plant models and demonstrated marked improvements in the performance. The simulation results demonstrated the ability of the new scheme to accommodate uncertainties in the plant model.

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What this paper is about

A Smith predictor ( SP) fuzzy logic ( FL) based controller for processes with long dead time is proposed. The basic concept is to combine the Smith predictor scheme with FL. The FL, in this scheme, is going to be used to auto-tune the PI controller while the SP is going to compensate for the long dead time that is commonly associated with different processes. The new scheme has been tested on several simulated plant models and demonstrated marked improvements in the performance. The simulation results demonstrated the ability of the new scheme to accommodate uncertainties in the plant model.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A Smith predictor ( SP) fuzzy logic ( FL) based controller for processes with long dead time is proposed. The basic concept is to combine the Smith predictor scheme with FL. The FL, in this scheme, is going to be used to auto-tune the PI controller while the SP is going to compensate for the long dead time that is commonly associated with different processes. The new scheme has been tested on several simulated plant models and demonstrated marked improvements in the performance. The simulation results demonstrated the ability of the new scheme to accommodate uncertainties in the plant model.

Key concepts: Smith predictor, Dead time, Scheme (mathematics), Control theory (sociology), Controller (irrigation), Fuzzy logic, PID controller, Computer science

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